COVID-19 Situation Report
Author: Dhivya Ravindran
- Date of Report
- COVID-19 Overall Stats (Worldwide)
- In- Depth Country Wise Stats (With Atleast 100 COVID-19 Confirmations)
- In Depth USA Stats (State Wise Figures)
- In Depth Canada Stats (With Province Level Figures)
- In Depth China Stats (With Province Level Figures)
- Time Series Curves (Top 20 Countries with the Highest Cases)
- Time Series Curves (Top 20 Countries with the Highest Cases)
- Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)
- Confirmed Cases and Deaths Per Million Population and Infection Odds
The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at dhivyaravindran@gmail.com.
Date of Report
Report Printed On
## [1] "2020-03-18"COVID-19 Overall Stats (Worldwide)
Overall Confirmed Cases Count Worldwide
## [1] 214915Overall Deaths Worldwide
Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 8733Overall Fatality Rate Worldwide in %
Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 4.06
In- Depth Country Wise Stats (With Atleast 100 COVID-19 Confirmations)
Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)
| Country.Region | TotalConfirmed | TotalDeaths | FatalityRate |
|---|---|---|---|
| China | 81102 | 3241 | 4.00 |
| Italy | 35713 | 2978 | 8.34 |
| Iran | 17361 | 1135 | 6.54 |
| Spain | 13910 | 623 | 4.48 |
| Germany | 12327 | 28 | 0.23 |
| France | 9052 | 148 | 1.63 |
| Korea, South | 8413 | 84 | 1.00 |
| US | 7786 | 118 | 1.52 |
| Switzerland | 3028 | 28 | 0.92 |
| United Kingdom | 2642 | 72 | 2.73 |
| Netherlands | 2056 | 58 | 2.82 |
| Austria | 1646 | 4 | 0.24 |
| Norway | 1550 | 6 | 0.39 |
| Belgium | 1486 | 14 | 0.94 |
| Sweden | 1279 | 10 | 0.78 |
| Denmark | 1115 | 4 | 0.36 |
| Japan | 889 | 29 | 3.26 |
| Malaysia | 790 | 2 | 0.25 |
| Cruise Ship | 712 | 7 | 0.98 |
| Canada | 657 | 8 | 1.22 |
| Australia | 568 | 6 | 1.06 |
| Czechia | 464 | 0 | 0.00 |
| Qatar | 452 | 0 | 0.00 |
| Portugal | 448 | 2 | 0.45 |
| Israel | 433 | 0 | 0.00 |
| Greece | 418 | 5 | 1.20 |
| Brazil | 372 | 3 | 0.81 |
| Finland | 336 | 0 | 0.00 |
| Singapore | 313 | 0 | 0.00 |
| Pakistan | 299 | 0 | 0.00 |
| Ireland | 292 | 2 | 0.68 |
| Slovenia | 275 | 1 | 0.36 |
| Romania | 260 | 0 | 0.00 |
| Estonia | 258 | 0 | 0.00 |
| Bahrain | 256 | 1 | 0.39 |
| Poland | 251 | 5 | 1.99 |
| Iceland | 250 | 1 | 0.40 |
| Chile | 238 | 0 | 0.00 |
| Indonesia | 227 | 19 | 8.37 |
| Thailand | 212 | 1 | 0.47 |
| Luxembourg | 203 | 2 | 0.99 |
| Philippines | 202 | 19 | 9.41 |
| Egypt | 196 | 6 | 3.06 |
| Saudi Arabia | 171 | 0 | 0.00 |
| Iraq | 164 | 12 | 7.32 |
| India | 156 | 3 | 1.92 |
| Russia | 147 | 0 | 0.00 |
| Peru | 145 | 0 | 0.00 |
| Kuwait | 142 | 0 | 0.00 |
| Lebanon | 133 | 3 | 2.26 |
| San Marino | 119 | 11 | 9.24 |
| South Africa | 116 | 0 | 0.00 |
| United Arab Emirates | 113 | 0 | 0.00 |
| Ecuador | 111 | 2 | 1.80 |
| Slovakia | 105 | 1 | 0.95 |
| Taiwan* | 100 | 1 | 1.00 |
In Depth USA Stats (State Wise Figures)
Confirmed Cases and Deaths- States of USA (With Fatality Rates)
| State | Confirmed | Deaths | FatalityRate | ConfirmedCasesPerMillPopl | DeathsPerMillPopl | InfectionOdds |
|---|---|---|---|---|---|---|
| New York | 2495 | 16 | 0.64 | 128.25 | 0.82 | 1 in 7797 |
| Washington | 1014 | 55 | 5.42 | 133.16 | 7.22 | 1 in 7510 |
| California | 751 | 13 | 1.73 | 19.01 | 0.33 | 1 in 52613 |
| Florida | 314 | 7 | 2.23 | 14.62 | 0.33 | 1 in 68400 |
| New Jersey | 267 | 3 | 1.12 | 30.06 | 0.34 | 1 in 33267 |
| Louisiana | 257 | 4 | 1.56 | 55.28 | 0.86 | 1 in 18089 |
| Massachusetts | 218 | 0 | 0.00 | 31.37 | 0.00 | 1 in 31878 |
| Georgia | 199 | 3 | 1.51 | 18.74 | 0.28 | 1 in 53354 |
| Colorado | 184 | 2 | 1.09 | 31.95 | 0.35 | 1 in 31297 |
| Texas | 173 | 3 | 1.73 | 5.97 | 0.10 | 1 in 167606 |
| Illinois | 162 | 1 | 0.62 | 12.78 | 0.08 | 1 in 78221 |
| Pennsylvania | 152 | 0 | 0.00 | 11.87 | 0.00 | 1 in 84224 |
| Wisconsin | 92 | 0 | 0.00 | 15.80 | 0.00 | 1 in 63287 |
| Ohio | 86 | 0 | 0.00 | 7.36 | 0.00 | 1 in 135920 |
| Maryland | 85 | 0 | 0.00 | 14.06 | 0.00 | 1 in 71126 |
| Michigan | 83 | 0 | 0.00 | 8.31 | 0.00 | 1 in 120324 |
| Tennessee | 79 | 0 | 0.00 | 11.56 | 0.00 | 1 in 86496 |
| Minnesota | 77 | 0 | 0.00 | 13.65 | 0.00 | 1 in 73242 |
| Virginia | 77 | 2 | 2.60 | 9.02 | 0.23 | 1 in 110851 |
| North Carolina | 70 | 0 | 0.00 | 6.67 | 0.00 | 1 in 149830 |
| Connecticut | 68 | 0 | 0.00 | 19.07 | 0.00 | 1 in 52431 |
| Oregon | 68 | 2 | 2.94 | 16.12 | 0.47 | 1 in 62026 |
| Nevada | 55 | 1 | 1.82 | 17.86 | 0.32 | 1 in 56003 |
| Utah | 51 | 0 | 0.00 | 15.91 | 0.00 | 1 in 62862 |
| South Carolina | 47 | 1 | 2.13 | 9.13 | 0.19 | 1 in 109547 |
| Alabama | 46 | 0 | 0.00 | 9.38 | 0.00 | 1 in 106591 |
| Maine | 42 | 0 | 0.00 | 31.25 | 0.00 | 1 in 32005 |
| Indiana | 39 | 2 | 5.13 | 5.79 | 0.30 | 1 in 172621 |
| Mississippi | 34 | 0 | 0.00 | 11.42 | 0.00 | 1 in 87534 |
| Arkansas | 33 | 0 | 0.00 | 10.94 | 0.00 | 1 in 91449 |
| Rhode Island | 33 | 0 | 0.00 | 31.15 | 0.00 | 1 in 32102 |
| District of Columbia | 31 | 0 | 0.00 | 43.92 | 0.00 | 1 in 22766 |
| Iowa | 29 | 0 | 0.00 | 9.19 | 0.00 | 1 in 108796 |
| Arizona | 27 | 0 | 0.00 | 3.55 | 0.00 | 1 in 282033 |
| Kentucky | 27 | 1 | 3.70 | 6.04 | 0.22 | 1 in 165469 |
| New Hampshire | 26 | 0 | 0.00 | 19.12 | 0.00 | 1 in 52297 |
| Nebraska | 24 | 0 | 0.00 | 12.41 | 0.00 | 1 in 80600 |
| New Mexico | 23 | 0 | 0.00 | 10.97 | 0.00 | 1 in 91166 |
| Delaware | 19 | 0 | 0.00 | 19.51 | 0.00 | 1 in 51251 |
| Oklahoma | 19 | 0 | 0.00 | 4.80 | 0.00 | 1 in 208262 |
| Kansas | 18 | 1 | 5.56 | 6.18 | 0.34 | 1 in 161851 |
| Missouri | 18 | 0 | 0.00 | 2.93 | 0.00 | 1 in 340968 |
| Vermont | 18 | 0 | 0.00 | 28.85 | 0.00 | 1 in 34666 |
| Wyoming | 15 | 0 | 0.00 | 25.92 | 0.00 | 1 in 38584 |
| Hawaii | 14 | 0 | 0.00 | 9.89 | 0.00 | 1 in 101134 |
| Montana | 11 | 0 | 0.00 | 10.29 | 0.00 | 1 in 97162 |
| South Dakota | 11 | 1 | 9.09 | 12.43 | 1.13 | 1 in 80424 |
| Idaho | 9 | 0 | 0.00 | 5.02 | 0.00 | 1 in 199118 |
| Alaska | 6 | 0 | 0.00 | 8.20 | 0.00 | 1 in 121924 |
| North Dakota | 6 | 0 | 0.00 | 7.87 | 0.00 | 1 in 127010 |
| Guam | 5 | 0 | 0.00 | 30.17 | 0.00 | 1 in 33144 |
| Puerto Rico | 5 | 0 | 0.00 | 1.57 | 0.00 | 1 in 638739 |
| United States Virgin Islands | 2 | 0 | 0.00 | 19.06 | 0.00 | 1 in 52457 |
| Virgin Islands | 2 | 0 | 0.00 | NA | NA | 1 in NA |
| West Virginia | 1 | 0 | 0.00 | 0.56 | 0.00 | 1 in 1787147 |
In Depth Canada Stats (With Province Level Figures)
Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)
| Province | Confirmed | Deaths | FatalityRate |
|---|---|---|---|
| Ontario | 221 | 1 | 0.45 |
| British Columbia | 186 | 7 | 3.76 |
| Alberta | 97 | 0 | 0.00 |
| Quebec | 94 | 0 | 0.00 |
| Manitoba | 15 | 0 | 0.00 |
| Nova Scotia | 12 | 0 | 0.00 |
| New Brunswick | 11 | 0 | 0.00 |
| Grand Princess | 9 | 0 | 0.00 |
| Saskatchewan | 8 | 0 | 0.00 |
| Newfoundland and Labrador | 3 | 0 | 0.00 |
| Prince Edward Island | 1 | 0 | 0.00 |
In Depth China Stats (With Province Level Figures)
Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)
| Province | Confirmed | Deaths | FatalityRate |
|---|---|---|---|
| Hubei | 67800 | 3122 | 4.60 |
| Guangdong | 1370 | 8 | 0.58 |
| Henan | 1273 | 22 | 1.73 |
| Zhejiang | 1232 | 1 | 0.08 |
| Hunan | 1018 | 4 | 0.39 |
| Anhui | 990 | 6 | 0.61 |
| Jiangxi | 935 | 1 | 0.11 |
| Shandong | 761 | 7 | 0.92 |
| Jiangsu | 631 | 0 | 0.00 |
| Chongqing | 576 | 6 | 1.04 |
| Sichuan | 540 | 3 | 0.56 |
| Heilongjiang | 482 | 13 | 2.70 |
| Beijing | 469 | 8 | 1.71 |
| Shanghai | 361 | 3 | 0.83 |
| Hebei | 318 | 6 | 1.89 |
| Fujian | 296 | 1 | 0.34 |
| Guangxi | 253 | 2 | 0.79 |
| Shaanxi | 246 | 3 | 1.22 |
| Hong Kong | 181 | 4 | 2.21 |
| Yunnan | 176 | 2 | 1.14 |
| Hainan | 168 | 6 | 3.57 |
| Guizhou | 146 | 2 | 1.37 |
| Tianjin | 136 | 3 | 2.21 |
| Gansu | 133 | 2 | 1.50 |
| Shanxi | 133 | 0 | 0.00 |
| Liaoning | 125 | 1 | 0.80 |
| Jilin | 93 | 1 | 1.08 |
| Xinjiang | 76 | 3 | 3.95 |
| Inner Mongolia | 75 | 1 | 1.33 |
| Ningxia | 75 | 0 | 0.00 |
| Qinghai | 18 | 0 | 0.00 |
| Macau | 15 | 0 | 0.00 |
| Tibet | 1 | 0 | 0.00 |
Time Series Curves (Top 20 Countries with the Highest Cases)
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.
Confirmed Cases Count (Linear)
Country Wise Time Series Curve
Confirmed Cases Count (Logarithmic)
Country Wise Time Series Curve
Time Series Curves (Top 20 Countries with the Highest Cases)
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.
Death Count (Linear)
Country Wise Time Series Curve
Death Count (Logarithmic)
Country Wise Time Series Curve
Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The termflattening of the epidemic curve
is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Delta in Confirmed Cases
Number of New Cases in the past 24 hrs
Delta in Deaths
Number of Deaths in the past 24 hrs
Confirmed Cases and Deaths Per Million Population and Infection Odds
This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.
For the top 20 countries with most confirmed cases excluding cruise ships
| Country.Region | ConfirmedCasesPerMillionPopl | DeathsPerMillionPopl | InfectionOdds | |
|---|---|---|---|---|
| 1 | China | 58.52 | 2.34 | 1 in 17090 |
| 2 | Italy | 590.49 | 49.24 | 1 in 1694 |
| 3 | Iran | 213.91 | 13.98 | 1 in 4675 |
| 4 | Spain | 298.11 | 13.35 | 1 in 3354 |
| 5 | Germany | 148.89 | 0.34 | 1 in 6716 |
| 6 | France | 135.12 | 2.21 | 1 in 7401 |
| 7 | Korea, South | 163.45 | 1.63 | 1 in 6118 |
| 8 | US | 23.80 | 0.36 | 1 in 42024 |
| 9 | Switzerland | 353.33 | 3.27 | 1 in 2830 |
| 10 | United Kingdom | 39.77 | 1.08 | 1 in 25148 |
| 11 | Netherlands | 119.67 | 3.38 | 1 in 8356 |
| 12 | Austria | 186.58 | 0.45 | 1 in 5360 |
| 13 | Norway | 288.75 | 1.12 | 1 in 3463 |
| 14 | Belgium | 130.35 | 1.23 | 1 in 7672 |
| 15 | Sweden | 126.38 | 0.99 | 1 in 7912 |
| 16 | Denmark | 199.00 | 0.71 | 1 in 5025 |
| 17 | Japan | 7.01 | 0.23 | 1 in 142632 |
| 18 | Malaysia | 24.98 | 0.06 | 1 in 40025 |
| 20 | Canada | 17.48 | 0.21 | 1 in 57215 |
Data Sources: 1. CSSEGISandData